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Merge pull request #6 from jpmonteagudo28/master
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jpmonteagudo28 authored Dec 6, 2024
2 parents 03d6f4f + c9b4481 commit 7f4bcdd
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8 changes: 4 additions & 4 deletions README.Rmd
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Expand Up @@ -9,13 +9,13 @@ knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "85%"
out.width = "100%"
)
#library(sequentially)
```

# sequentially <img src="man/figures/logo.png" align="right" height="195" alt="" />
# sequentially <img src="man/figures/logo.png" align="right" height="250" alt="" />


<!-- badges: start -->
Expand All @@ -28,14 +28,14 @@ coverage](https://codecov.io/gh/jpmonteagudo28/sequentially/graph/badge.svg)](ht
<!-- badges: end -->

This package is born out of curiosity rather than necessity. `sequentially` creates non-linear and linear numeric sequences. By using non-linear interpolation the user can animate their data
in a way that is more visually pleasing than uniform, linear interpolation. The functions in this package represent a break from the **essential** but *boring* `seq()` family of functions–I wanted to plot numeric sequences could be used in data visualization, motion animation, frame interpolation, UI/UX design, population dynamics, economics and finance.
in a way that is more visually pleasing than uniform, linear interpolation. The functions in this package represent a break from the **essential** but *boring* `seq()` family of functions–I wanted to plot numeric sequences that looked different and could be used in data visualization, motion animation, frame interpolation, UI/UX design, population dynamics, or other fields.

## Installation

You can install the development version of sequentially like so:

``` r
devtools::install_github("sequentially")
devtools::install_github("jpmonteagudo28/sequentially")
```

or download it from CRAN:
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13 changes: 7 additions & 6 deletions README.md
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@@ -1,7 +1,7 @@

<!-- README.md is generated from README.Rmd. Please edit that file -->

# sequentially <img src="man/figures/logo.png" align="right" height="195" alt="" />
# sequentially <img src="man/figures/logo.png" align="right" height="250" alt="" />

<!-- badges: start -->

Expand All @@ -19,15 +19,16 @@ non-linear interpolation the user can animate their data in a way that
is more visually pleasing than uniform, linear interpolation. The
functions in this package represent a break from the **essential** but
*boring* `seq()` family of functions–I wanted to plot numeric sequences
could be used in data visualization, motion animation, frame
interpolation, UI/UX design, population dynamics, economics and finance.
that looked different and could be used in data visualization, motion
animation, frame interpolation, UI/UX design, population dynamics, or
other fields.

## Installation

You can install the development version of sequentially like so:

``` r
devtools::install_github("sequentially")
devtools::install_github("jpmonteagudo28/sequentially")
```

or download it from CRAN:
Expand Down Expand Up @@ -55,7 +56,7 @@ library(sequentially)
mtext("Linear Sequence",3,cex = 1.3, family = "serif")
```

<img src="man/figures/README-example-1.png" width="85%" />
<img src="man/figures/README-example-1.png" width="100%" />

``` r

Expand All @@ -71,7 +72,7 @@ library(sequentially)
mtext("Ease-out Elastic Sequence",3,cex = 1.3, family = "serif")
```

<img src="man/figures/README-example-2.png" width="85%" />
<img src="man/figures/README-example-2.png" width="100%" />

What is special about using `README.Rmd` instead of just `README.md`?
You can include R chunks like so:
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8 changes: 4 additions & 4 deletions _pkgdown.yml
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Expand Up @@ -3,10 +3,10 @@ url: https://sequentially.jpmonteagudo.com
template:
bootstrap: 5
bslib:
bg: "#5697BF"
fg: "#035949"
primary: "#53075B"
base_font: {google: "Libre Franklin Light"}
bg: "#D3D6D9"
fg: "#172E73"
primary: "#D95B66"
base_font: {google: "Libre Franklin"}
heading_font: {google: "Montserrat Alternates"}
code_font: {google: "Fira Code"}
theme: a11y-light
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2 changes: 1 addition & 1 deletion man/seq_smooth.Rd

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{
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"icons": [
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"sizes": "192x192",
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"display": "standalone"
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